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Senior Python Data Science Jobs in Apex, NC (NOW HIRING)

Advises senior management on technical strategy. * Regularly provides guidance, training, and ... Python, and SAS programming languages; and analyzing and evaluating model results by creating data ...

Advises senior management on technical strategy. * Regularly provides guidance, training, and ... Python, and SAS programming languages; and analyzing and evaluating model results by creating data ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

The Senior Data Scientist expands Peter Millar's data science capacity beyond customer analytics ... science, machine learning, or advanced analytics. * Strong proficiency in Python and SQL with ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... Strong coding skills in Python or another programming language. * Excellent communicator, able to ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Strong programming experience in Python (or equivalent), including data manipulation, modeling, and ...

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Hands-on experience with Python, SQL, Git, and modern analytics development practices. * Experience ... Demonstrated ability to influence senior business and technical stakeholders and translate complex ...

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data Communication, * Introduction to AI Ethics, * Data Science for Social Good, * Introduction to Data Science for ...

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data Communication, * Introduction to AI Ethics, * Data Science for Social Good, * Introduction to Data Science for ...

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Senior Python Data Science information

See Apex, NC salary details

$41.9K

$108.2K

$148.6K

How much do senior python data science jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior python data science in Apex, NC is $108,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $124,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are popular job titles related to Senior Python Data Science jobs in Apex, NC? For Senior Python Data Science jobs in Apex, NC, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Science jobs in Apex, NC look for? The top searched job categories for Senior Python Data Science jobs in Apex, NC are:
Director, Data Science

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Re-posted yesterday


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services


Job description


Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

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Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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